Method and apparatus for channel quality measurements

ABSTRACT

A method and apparatus are provided for measuring channel quality over which has been transmitted a sequence of symbols produced by encoding and constellation mapping a source data element sequence. The method includes receiving a sequence of received symbols over the channel whose quality is to be measured. The sequence of received symbols is de-mapped based on a first channel quality indicator previously transmitted to a transmitter of the sequence of symbols. The method also includes decoding the de-mapped symbols to produce a decoded output sequence. In some embodiments, the decoding may be based on the first channel quality indicator. The method also includes re-encoding the decoded output sequence to produce a re-encoded output sequence. The method also includes correlating the de-mapped symbols with the re-encoded output sequence to produce a second channel quality indicator. The second channel quality indicator is transmitted to the transmitter to adaptively select a type of mapping based on the second channel quality indicator. In some embodiments, the transmitter may adaptively select a type of encoding based on the second channel quality indicator.

RELATED APPLICATIONS

This application is a Continuation of patent application Ser. No.10/038,916, filed Jan. 8, 2002, entitled METHOD AND APPARATUS FORCHANNEL QUALITY MEASUREMENTS, which claims priority to U.S. ProvisionalApplication Ser. Nos.: 60/329,511 and 60/329,515, both filed on Oct. 17,2001, the entirety of all of which are incorporated herein by reference.

FIELD OF THE INVENTION

The invention relates to wireless data transmission, and moreparticularly to channel quality measurement in respect of such datatransmission.

BACKGROUND OF THE INVENTION

Adaptive modulation and coding is a key enabling concept and technologyfor high-speed wireless data transmission. A wireless channel istypically a random fading channel. Adaptive coding and modulation is acommonly employed solution for transmitting data over such an unknownchannel. Conventional design methodology provides a large fade margin inthe transmit signal power to combat deep fades which may occur. Suchfade margins are typically at least 6 dB, which represents a 200-300%throughput loss. The aim of adaptive coding and modulation is to fullyutilize the channel capacity and to minimize the need to use such a fademargin by dynamically selecting the best coding and modulationconfiguration on-the-fly. This requires the transmitter to have accurateinformation about the instantaneous channel quality. Such instantaneouschannel quality information is extracted at the receiver and fed back tothe transmitter. The conventional approach is to measure the channel(signal) to interference power ratio (CIR) at the receiver front-end.Based on the instantaneous CIR and a targeted performance, thetransmitter determines and applies the appropriate coding rate andmodulation. In general, due to a complex propagation environment, a fastand accurate measurement of the CIR is a very difficult task.

Conventional channel quality measurements can be classified into twocategories: (1) pilot based channel quality measurements and (2)decision feedback based channel quality measurements. These methods usethe correlation of known sequences, typically Pseudo-Noise (PN) codes,with both the desired signal and the interference. For a slowly varyingchannel with a sufficient measurement time, the conventional methods canprovide an accurate CIR measurement.

Referring to FIG. 1, a conventional pilot based CIR estimation schemewill now be described. In the context of MIMO-OFDM (Multiple InputMultiple Output-Orthogonal Frequency Division Multiplexing), theconventional channel quality measurement uses a pilot header containingtwo identical known OFDM symbols upon which to base an indication of thecurrent channel quality. FIG. 1 shows a first, second and third basetransceiver station (BTS) 100, 110, and 120 transmitting theirrespective signals, and a mobile station 130 receiving these signals.Mobile station 130 is configured to receive, demodulate and decode asignal transmitted by the second base transceiver station 110. Thesignals transmitted by the first base transceiver station 100 and thethird base transceiver station 120 are received as interference by themobile station 130. A channel associated with the signal having receivedsignal power C transmitted by base transceiver station 2 (BTS₂) 110 isthe channel whose quality is to be measured. Suppose that we have N PNcodes, and that the length of each PN code is N chips, we then have:PN _(i) ·PN _(j)≈0 i≠jPN _(i) ·PN _(i) =N 1≦i≦N.This important relation that the PN codes form a near orthogonal setallows for the extraction of specific channels using the Pilot channelPN codes. In FIG. 1 only three BTSs are shown, and hence there are onlythree PN codes. The second BTS 110 encodes a signal whose associatedchannel quality is to be measured, at ENCODER-2 112. The encoded signalis modulated using a PN Code which here is labeled Pilot-PN₂ 114 beforeeventually being transmitted through an antenna 118 to the mobilestation 130. The first BTS 100 encodes a signal, which appears as afirst interference signal to the mobile station 130, at ENCODER-1 102.This encoded signal is modulated using a PN Code Pilot-PN₁ 104 beforeeventually being transmitted through an antenna 108. The third BTS 120encodes a signal, which appears as a second interference signal to themobile station 130, at ENCODER-3 122. This encoded signal is modulatedusing a PN Code which here is labeled Pilot-PN₃ 124 before eventuallybeing transmitted through an antenna 128. All three signals transmittedby antennas 108, 118, and 128 are received by the mobile station 130 atthe receiver front-end 134 through antenna 132. The received signal isthen passed to a decoder 138 for extraction of the channel to berecovered. The received signal is also passed on to a first correlator140, a second correlator 142, and a third correlator 144. Thecorrelators of FIG. 1, perform sub-operations corresponding tomultiplication, summation, and absolute-value-squared, effectivelyperforming an operation corresponding to taking an inner product of twoinputs. The first correlator 140 performs a correlation between thereceived signal and the PN code Pilot-PN₁, which was used to modulatethe signal appearing to the mobile as the first interference signal, andoutputs an interference power I₁. The second correlator 142 performs acorrelation between the signal and the PN code Pilot-PN₂, which was usedto modulate the signal whose quality is to be measured, and outputs asignal power C. The third correlator 144 performs a correlation betweenthe received signal and the PN code Pilot-PN₃, which was used tomodulate the signal appearing to the mobile as the second interferencesignal, and outputs an interference power I₂. A calculating operation150 computes the CIR which in this case is simply C/(I₁+I₂).

In general, this approach can be applied to M base transceiver stations.Let BTS_(i) (1≦i≦M) be the M adjacent base transceiver stations, E_(i)be the corresponding energy from the i^(th) base station that ismeasured at the mobile station 130, let S be the combined total signalenergy received by the mobile at receiver front-end 134, and let BTS₂ bethe base transceiver station whose associated CIR is to be measured,then

${C = {{\max\limits_{1 \leq i \leq M}\left( {S \cdot {PN}_{i}} \right)} = {E_{2} \cdot N}}},{and}$$I = {{\sum\limits_{i \neq 2}\left( {S \cdot {PN}_{i}} \right)} = {N \cdot {\sum\limits_{i \neq 2}{E_{i}.}}}}$In these equations C and I are energies although for the purposes ofdetermining the ratio C/I, either energy or power may be used. Since thepilot header is composed of two identical OFDM symbols, the CIRcalculation process can be based on the average over the two symbols,thus reducing noise. These methods, however, fail to work if the channelis a multi-path fading channel and/or mobility speed is high. Onesolution is to insert more pilots to improve the measurement quality,however, this introduces overhead which significantly reduces spectralefficiency. For example, in 2G and 3G wireless systems, the pilotoverhead is about 20-35%, and the pilot design for these systems is notsuitable for fast channel quality measurement. This is the case becausefundamentally the accuracy of the channel quality measurement is limitedby the Cramer-Rao lower bound, which implies that the accuracy ofchannel measurement can be gained only at the expense of more pilotoverhead (either in time or in power).

As an example of this trade-off, in a proposed MIMO-OFDM system, a pilotheader is transmitted every OFDM frame in 10 ms (15 slots). Tofacilitate adaptive modulation in the mobility case, a CIR estimationmust be fed back to the BTS every 2 ms (3 slots). Therefore, CIRmeasurement based on a pilot header can not provide accurateinstantaneous channel quality information. If the actual CIR does notchange significantly during that 10 ms, then by measuring the energy ofthe pilots, one may roughly track the CIR. However, by doing so, theaccuracy may diminish towards the end of the slot, as the assumptionthat the interference is a constant becomes more and more inaccurate.

The above discussed channel quality measurement is for adaptive codingand modulation, and does not in any way relate to channel estimation.

Channel quality measurement is a different concept from channelestimation. Channel quality measurement is performed to measure thechannel quality so that proper coding and modulation set can be chosen.Channel estimation is performed to estimate the channel response so thatcoherent detection can be implemented.

In some wireless communication systems that employ Orthogonal FrequencyDivision Multiplexing (OFDM), a transmitter transmits data symbols to areceiver as OFDM frames in a MIMO (multiple input, multiple output)context. One of the key advantages of MIMO-OFDM systems is its abilityto deliver high-speed data over a multi-path fading channel, by usinghigher QAM size, water pouring and/or adaptive modulation. In theMIMO-OFDM system, there are two major design challenges: (1) To combathigh Doppler spread and fast fading due to high speed mobility (2) Toprovide a common fast signaling channel to realize fast physical and MAClayer adaptation signaling. To solve the mobility problem, a pilotchannel is commonly used in OFDM design; such a pilot channel can beoptimized by using the scattered (in time and frequency) pilot pattern.The common fast signaling channel design must be sufficiently reliableto allow most of mobiles to detect the signaling, which introduces asignificant amount of system and spectral overhead to sustain thesignaling throughput. In the conventional OFDM design scattered pilotand fast signaling channel are arranged as separate overhead channels.

The phase and amplitude of the data symbols may be altered duringpropagation along a channel, due to the impairment of the channel. Thechannel response may vary with time and frequency. In order to allow thereceiver to estimate the channel response, pilot symbols are scatteredamong the data symbols within the OFDM frame. The receiver compares thevalues of the received pilot symbols with the known transmitted valuesof the pilot symbols, estimates the channel response at the frequenciesand times of the pilot symbols, and interpolates the estimated channelresponses to estimate the channel response at the frequencies and timesof the data symbols.

Transmit Parameter Signaling (TPS) symbols are also transmitted with thedata symbols. The TPS symbols are transmitted over specifiedsub-carriers within the OFDM frame, and are used to provide commonsignaling channels to allow fast physical and media access control layeradaptation signaling.

Both the pilot symbols and the TPS symbols are overhead, in that they donot carry data. In order to improve the data rate of an OFDMcommunication system, the overhead within the OFDM frames should beminimized. The minimization of overhead is particularly important inMultiple-Input Multiple-Output (MIMO) OFDM systems. In a MIMO OFDMsystem having M transmitting antennae and N receiving antennae, thesignal will propagate over M×N channels and there may be up to M sets ofpilot symbols in the overhead. An example of an OFDM frame format withdedicated TPS and pilot channels is shown in FIG. 7 for the singleinput, single output case. The horizontal axis 704 shows a circlerepresenting the frequency of each of a plurality of OFDM sub-carriers.The vertical axis 706 is time, with each row representing an OFDMsymbol. A set of OFDM symbols constitutes an OFDM frame. In thisexample, the pilot channel is transmitted in a scattered manner, withthe pilot symbols being transmitted every third sub-carrier, and foreach sub-carrier every sixth frame. Thus, the first sub-carrier 700 haspilot symbols 701 in the first, seventh (and so on) OFDM symbols. Thefourth sub-carrier 702 has pilot symbols 705 in the fourth, tenth (andso on) OFDM symbols. In addition, the third, ninth, 15^(th), and 21^(st)sub-carriers of every OFDM symbol are used to transmit TPS symbols,collectively indicated at 708. The remaining capacity is used fortraffic.

SUMMARY OF THE INVENTION

One embodiment of the invention provides a simple accurate and robustchannel quality measurement method with broad applications such as UMTSand 3G wireless system evolution. Advantageously a channel qualityindicator (CQI) is measured indirectly, simply, and accurately, and isindependent of the mobile speed, independent of multi-path channelcharacteristics, and avoids Walsh Code Coherent Loss. The CQI is ameasure of the overall quality of the channel, not just one factor, suchas CIR. In addition the method is easy to implement, as it does notrequire any additional coding, such as PN codes used in CIR measurement.

A method and apparatus are provided for measuring channel quality overwhich has been transmitted a sequence of symbols produced by encodingand constellation mapping a source data element sequence. The methodincludes receiving a sequence of received symbols over the channel whosequality is to be measured. The sequence of received symbols is de-mappedbased on a first channel quality indicator previously transmitted to atransmitter of the sequence of symbols. The method also includesdecoding the de-mapped symbols to produce a decoded output sequence. Insome embodiments, the decoding may be based on the first channel qualityindicator. The method also includes re-encoding the decoded outputsequence to produce a re-encoded output sequence. The method alsoincludes correlating the de-mapped symbols with the re-encoded outputsequence to produce a second channel quality indicator. The secondchannel quality indicator is transmitted to the transmitter toadaptively select a type of mapping based on the second channel qualityindicator. In some embodiments, the transmitter may adaptively select atype of encoding based on the second channel quality indicator.

According to one aspect, a channel quality measurement apparatus isprovided which is adapted to measure a quality of a channel over whichhas been transmitted a sequence of symbols produced by encoding andconstellation mapping a source data element sequence. The apparatus hasa symbol de-mapper, receiving as input a sequence of received symbolsover the channel whose quality is to be measured, the symbol de-mapperbeing adapted to perform symbol de-mapping on the sequence of receivedsymbols to produce a sequence of soft data element decisions, a type ofthe symbol de-mapping being based on a first channel quality indicatorpreviously transmitted by the apparatus to a transmitter of the sequenceof symbols. There is a soft decoder, receiving as input the sequence ofsoft data element decisions produced by the symbol de-mapper, the softdecoder being adapted to decode the sequence of soft data elementdecisions to produce a decoded output sequence. An encoder receives asinput the decoded output sequence produced by the soft decoder, theencoder being adapted to re-encode the decoded output sequence with anidentical code to a code used in encoding the source data elementsequence to produce a re-encoded output sequence. A correlator receivesas input the sequence of soft data element decisions produced by thede-mapper, and the re-encoded output sequence produced by the encoder,the correlator being adapted to produce a second channel qualityindicator output by determining a correlation between the sequence ofsoft data element decisions and the re-encoded output sequence. Thesecond channel quality indicator is transmitted to a transmitter toapply a type of mapping based on the second channel quality indicator.

In some embodiments, the symbol de-mapper is adapted to perform QPSKsymbol de-mapping in response to the first channel quality indicator andis adapted to perform Euclidean distance conditional LLR symbolde-mapping in response to the second channel quality indicator.

In accordance with yet another aspect, the invention provides a methodof measuring channel quality of a channel over which has beentransmitted a sequence of symbols produced by encoding and constellationmapping a source data element sequence. A sequence of received symbolsover the channel whose quality is to be measured is received. Thesequence of received symbols is symbol de-mapped to produce a sequenceof soft data element decisions. The sequence of soft data elementdecisions is decoded to produce a decoded output sequence. The decodingis based on a first channel quality indicator previously transmitted tothe transmitter of the sequence of symbols. The decoded output sequenceare re-encoded to produce a re-encoded output sequence using a codeidentical to a code used in encoding the source data element sequence.The re-encoded output sequence and the sequence of soft data element arecorrelated decisions to produce a second channel quality indicatoroutput. The second channel quality indicator is transmitted to thetransmitter to adaptively select a type of coding to be applied to asource data element sequence based on the second channel qualityindicator.

In some embodiments, the symbol de-mapper is adapted to performEuclidean distance conditional LLR symbol de-mapping in response to thefirst channel quality indicator and is adapted to perform QPSK symbolde-mapping in response to the second channel quality indicator.

According to another aspect, a method of measuring OFDM channel qualityof an OFDM channel over which has been transmitted a sequence of OFDMsymbols, the OFDM symbols containing an encoded and constellation mappedsource data element sequence is provided. The method includes receivinga sequence of OFDM symbols over the OFDM channel whose quality is to bemeasured. The method also includes symbol de-mapping the sequence ofreceived symbols to produce a sequence of soft data element decisions,the symbol de-mapping being based on a first channel quality indicatorpreviously transmitted to a transmitter of the sequence of OFDM symbols.The method also includes decoding the sequence of soft data elementdecisions to produce a decoded output sequence pertaining to the sourcedata element sequence, the decoding being based on the first channelquality indicator previously transmitted to the transmitter of thesequence of OFDM symbols. The method also includes re-encoding thedecoded output sequence to produce a re-encoded output sequence using acode identical to a code used in encoding the source data elementsequence. The method also includes correlating the re-encoded outputsequence, and the sequence of soft data element decisions to produce asecond channel quality indicator output. The second channel qualityindicator is transmitted to the transmitter to adaptively select a typeof mapping and a type of coding to be applied to a source data elementsequence based on the second channel quality indicator.

Another aspect of the invention provides a communication system having atransmitter adapted to transmit a sequence of symbols produced byencoding and constellation mapping a source data element sequence over achannel; and a receiver having a) a symbol de-mapper, receiving as inputa sequence of received symbols over the channel, the symbol de-mapperbeing adapted to perform symbol de-mapping on the sequence of receivedsymbols to produce a sequence of soft data element decisions, a type ofthe symbol de-mapping being based on a first channel quality indicatorpreviously transmitted by the receiver to the transmitter of thesequence of symbols; b) a soft decoder, receiving as input the sequenceof soft data element decisions produced by the symbol de-mapper, thesoft decoder being adapted to decode the sequence of soft data elementdecisions to produce a decoded output sequence; c) an encoder, receivingas input the decoded output sequence produced by the soft decoder, theencoder being adapted to re-encode the decoded output sequence with anidentical code to a code used in encoding the source data elementsequence to produce a re-encoded output sequence; and d) a correlatorreceiving as input the sequence of soft data element decisions producedby the de-mapper, and the re-encoded output sequence produced by theencoder, the correlator being adapted to produce a second channelquality indicator output by determining a correlation between thesequence of soft data element decisions and the re-encoded outputsequence. The receiver is adapted to feed the second channel qualityindicator back to the transmitter, and the transmitter is adapted toapply a type of modulation to the source data element sequence based onthe second channel quality indicator.

Still another aspect of the invention provides a method of adaptivemodulation and coding which involves transmitting over a channel asequence of symbols produced by encoding and constellation mapping asource data element sequence, receiving a sequence of received symbolsover the channel, symbol de-mapping the sequence of received symbols toproduce a sequence of soft data element decisions, decoding the sequenceof soft data element decisions to produce a decoded output sequence,re-encoding the decoded output sequence to produce a re-encoded outputsequence using a code identical to a code used in encoding the sourcedata element sequence, correlating the re-encoded output sequence, andthe sequence of soft data element decisions to produce a channel qualityindicator output, transmitting the channel quality indicator, and usingthe channel quality indicator to determine and apply an appropriatecoding rate and modulation to the source data element sequence.

Yet another broad aspect of the invention provides a method ofdetermining a channel quality comprising correlating a soft data elementdecision sequence with a second data element sequence, the second dataelement sequence being produced by decoding the soft data elementdecision sequence to produce a decoded sequence and then re-encoding thedecoded sequence.

Another aspect of the invention provides a method which involvesapplying forward error coding to a signalling message to generate acoded fast signalling message, MPSK mapping the coded signalling messageto produce an MPSK mapped coded signalling message, mapping the MPSKmapped coded signalling message onto a plurality of sub-carriers withinan OFDM frame comprising a plurality of OFDM symbols, encoding symbolsof the MPSK mapped coded signalling message using DifferentialSpace-Time Block Coding (D-STBC) in a time direction to generate encodedsymbols, and transmitting the encoded symbols on a plurality of transmitantennas, with the encoded symbols being transmitted at an increasedpower level relative to other symbols within the OFDM frame as afunction of channel conditions.

In some embodiments, the encoded symbols are transmitted in a scatteredpattern.

In some embodiments, transmitting the encoded symbols on a plurality ofantennas involves: on a selected sub-carrier, each antenna transmittinga respective plurality N of encoded symbols over N consecutive OFDMsymbols, where N is the number of antennas used to transmit, for a totalof N×N transmitted encoded symbols, the N×N symbols being obtained fromD-STBC encoding L symbols of the MPSK mapped coded signalling stream,where L,N determine an STBC code rate.

In some embodiments, the method further involves transmitting a set ofpilot sub-carriers in at least one OFDM symbol, and using the pilotsub-carriers as a reference for a first set of D-STBC encoded symbolstransmitted during subsequent OFDM symbols.

In some embodiments, transmitting a set of pilot sub-carriers in atleast one OFDM frame involves transmitting a plurality of pilots on eachantenna on a respective disjoint plurality of sub-carriers.

In some embodiments, each disjoint plurality of sub-carriers comprises aset of sub-carriers each separated by N−1 sub-carriers, where N is thenumber of antennas.

In some embodiments, pilot sub-carriers are transmitted for a number ofconsecutive OFDM frames equal to the number of transmit antennas.

An OFDM transmitter adapted to implement any of the above methods isalso provided.

Another aspect of the invention provides a receiving method whichinvolves receiving at least one antenna an OFDM signal containingreceived D-STBC coded MPSK mapped coded signalling message symbols,recovering received signalling message symbols from the OFDM signal(s),re-encoding, MPSK mapping and D-STBC coding the received codedsignalling message symbols to produce re-encoded D-STBC coded MPSKmapped coded signalling message symbols, and determining a channelestimate by comparing the received D-STBC coded mapped coded signallingmessage symbols with the re-encoded D-STBC coded MPSK mapped codedsignalling message symbols.

In some embodiments, a channel estimate is determined for each location(in time, frequency) in the OFDM signal containing D-STBC coded MPSKmapped coded signalling message symbols. The method further involvesinterpolating to get a channel estimate for remaining each location (intime, frequency) in the OFDM signal.

In some embodiments, the method further involves receiving pilot symbolswhich are not D-STBC encoded which are used as a reference for a firstD-STBC block of D-STBC coded MPSK mapped coded signalling messagesymbols.

An OFDM receiver adapted to implement any of the above methods is alsoprovided.

An article of manufacture comprising a computer-readable storage mediumis also provided, the computer-readable storage medium includinginstructions for implementing any of the above summarized methods.

Another broad aspect of the invention provides a method of generatingpilot symbols from an Orthogonal Frequency Division Multiplexing (OFDM)frame received at an OFDM receiver, the OFDM frame containing an encodedfast signaling message in the form of encoded symbols within the OFDMframe. The method involves processing the encoded symbols based in ascattered pilot pattern to recover the encoded fast signalling message,re-encoding the fast signalling message so as to generate pilot symbolsin the scattered pattern and recovering a channel response for theencoded symbols using decision feedback.

In some embodiments, the fast signalling message is examined to see ifthe current transmission contains content for the OFDM receiver. Only ifthis is true is the channel response computation process continued forthe current transmission.

In some embodiments, processing the encoded symbols involvesdifferentially decoding the encoded symbols using DifferentialSpace-Time Block Coding (D-STBC) decoding to recover the encoded fastsignalling message, applying Forward Error Correction decoding to theencoded fast signalling message to recover a fast signalling message,analyzing the fast signalling message to determine whether it includes adesired user identification and if the fast signalling message includesthe desired user identification, re-encoding the fast signalling messageusing Forward Error Correction coding to generate the encoded fastsignalling message, and re-encoding the encoded fast signalling messageusing D-STBC.

Another broad aspect of the invention provides a transmitter adapted tocombine pilot and transmission parameter signaling on a single overheadchannel within an OFDM signal.

In some embodiments, a set of transmission parameter signaling symbolsare transmitted on the overhead channel with strong encoding such thatat a receiver, they can be decoded accurately, re-encoded, and there-encoded symbols treated as known pilot symbols which can then be usedfor channel estimation.

Another aspect provides a transmitter to transmit a data signal andadapted to combine pilot and transmission parameter signaling on asingle overhead channel within an OFDM signal, having a set oftransmission parameter signaling symbols that are transmitted on theoverhead channel with strong encoding such that at a receiver, they canbe decoded accurately, re-encoded, and the re-encoded symbols treated asknown pilot symbols which can then be used for channel estimation. Inanother aspect, the strong encoding is based on a channel qualityindicator received from the receiver of the transmission parametersignaling symbols.

Another aspect of the invention provides a receiver adapted to processthe combined single overhead channel produced by the above summarizedtransmitter. The receiver is adapted to decode a received signalcontaining the encoded transmission parameter signaling symbols asmodified by a channel, re-encode the decoded symbols to produce knownpilot symbols, compare received symbols with the known pilot symbols toproduce a channel estimate.

Other aspects and features of the present invention will become apparentto those of ordinary skill in the art upon review of the followingdescription of specific embodiments of the invention in conjunction withthe accompanying figures.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention will now be described in greater detail with reference tothe accompanying diagrams, in which:

FIG. 1 is a diagram of a standard carrier to interference ratio (CIR)estimator using a known channel quality measurement technique;

FIG. 2 is a diagram of a channel quality indicator (CQI) estimatorconstructed according to an embodiment of the invention;

FIG. 3 is a graph showing a QAM constellation to illustrate QPSKde-mapping according to an embodiment of the invention;

FIG. 4 is a graph showing simulation results of CQI versus SNR fordifferent Doppler frequencies;

FIG. 5 is graph showing statistical results of CQI measurements;

FIG. 6 is a graph showing a CDF of SNR measurement error based on theCQI;

FIG. 7 is a diagram of OFDM symbol allocation for dedicated pilot andTPS channels;

FIG. 8 is a block diagram of an OFDM system employing combined TPS andpilot signaling in a single overhead channel provided by an embodimentof the invention;

FIG. 9 is an OFDM symbol allocation diagram showing time and frequencydifferentials;

FIG. 10 is an example of an OFDM symbol allocation diagram showing pilotand TPS symbol locations; and

FIGS. 11 and 12 are example performance results for the system of FIG.8.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

According to one embodiment of the invention, a measurement of thequality of the received signal is obtained by measuring a valuerepresentative of the average distance between the received signal andthe reference signal constellation. In general the poorer the channel,the more scattered and random is the received signal on the referencesignal constellation, and therefore the larger the average distancebetween the signal and its closest constellation reference point.

In some implementations, the purpose of channel quality measurement, aswas the case for C/I estimation, is for a successful coding rate andmodulation assignment. A “successful” assignment here is one whichachieves desired performance characteristics. In accordance with thispurpose, a new channel quality measurement referred to herein as the“Channel Quality Indicator” (CQI) is provided. The CQI provides anoverall assessment of the quality of the channel, including the effectsof interference, multi-path fading, and Doppler spread.

In developing the CQI, a soft output from a de-mapping function is usedto obtain a measurement of channel quality, since the amplitude of thesoft output can be used as an indication of the confidence of thesignal. If the channel quality is high, the soft output value will behigh, and vice versa. All the channel impairments will be reflected insuch an indicator, independent of their source and character. This hasbeen demonstrated by simulation results, which show that such anindicator is invariant to the interference, multi-path fading andDoppler spread.

The preferred embodiment presented is based on an MIMO-OFDM framestructure in which a QAM constellation is employed, and provides anindirect channel quality measurement approach based on soft QAMdemodulation and de-mapping. However, more generally, embodiments of theinvention provide for any frame structure which employs a method ofmodulation and mapping having an associated reference symbolconstellation which can be used in soft demodulation and de-mapping suchas PSK (phase shift keying) and PAM (pulse amplitude modulation) to namea few examples.

Referring to FIG. 2, a preferred embodiment of the invention will now bedescribed. It is assumed for the purpose of this example that a signalfrom a second base transceiver station 210 is a desired signal whoseassociated channel quality is to be measured by a mobile station 230,and that signals from two other (first and third) base stations 200, and220, can be considered to be noise by mobile station 230. There may beother sources of noise as well, and the channel may introducedistortions such as multi-path fades, residual Doppler shifts, andthermal white noise. The second BTS 210 encodes an input sequence 213(assumed to be a sequence of bits, but more generally a sequence of dataelements) at ENCODER-2 212 to produce an encoded bit sequence. Theencoded bit sequence contains redundancy which allows some errordetection/correction at the receiver. The encoded bit sequence is thenmapped to constellation points with symbol mapper 214. Theseconstellation points are modulated and transmitted as a signal whoseassociated channel quality is to be measured. The signal is transmittedthrough an antenna 218 to a mobile station 230. The modulation type (andassociated constellation) and type of coding employed by ENCODER-2 212are both adaptively selected as a function of a channel qualityindicator fed back from the mobile station 230.

The first BTS 200 encodes with ENCODER-1 202 and maps with symbol mapper204 to produce a signal, which appears as a first interference signal tothe mobile station 230. This signal is transmitted through an antenna208. The third BTS 220 encodes with ENCODER-3 222 and maps with symbolmapper 224 to produce a signal which appears as a second interferencesignal to the mobile station 230. This signal is transmitted through anantenna 228. All three channels transmitted by antennas 208, 218, and228 are received by the mobile station 230 at the receiver front-end 234through antenna 232, although in this example, the signal from thesecond base transceiver station 210 is the desired signal. According tothe preferred embodiment, the received signal is then passed to a symbolde-mapper 236. The symbol de-mapper 236 takes raw symbol data from thereceiver front end 234 and de-maps the raw symbol data taking intoaccount the known signal constellation used at the transmitting basestation 210 to produce a soft bit decision sequence. The de-mappedsymbols (soft bit decisions) inherently constitute a representation ofconfidence, and are used as inputs to a soft decoder 238. The symbolde-mapper 236 outputs a de-mapped output signal at output 237 both tothe soft decoder 238 and to a correlator 250. The soft decoder 238performs soft decoding on the de-mapped output signal and outputs a softdecoded output signal to an encoder 240. The soft decoded output is alsooutput at 239 as a receiver output, this being the best availableestimate at the receiver of input sequence 213. Alternatively, adifferent receiver structure may be used to generate a receiver output.The encoder 240 re-encodes the output of the soft decoder to produce anencoded output signal and outputs this encoded output signal from output242 to a correlator 250. The same encoding is used as was employed atENCODER-2 212 of the base station 210. Assuming proper decoding andre-encoding, the output of the encoder 240 is the same as the encodedsequence produced by the encoder 212 at the base transceiver station210. The correlator 250 correlates the re-encoded sequence from theencoder output 242, with the de-mapped output signal (soft bit decisionsequence) from the symbol de-mapper output 237. The correlator 250outputs this correlation as a channel quality indicator (CQI). Thehigher this correlation, the closer the de-mapped symbols are on averageto the transmitted constellation symbols and as such the higher thechannel quality. In the illustrated example, correlator 250 multipliesthe re-encoded bit sequence 242 with the soft bit decision sequence withmultiplier 251. These are summed with summer 252, and then the squareabsolute value is taken as indicated at 253. Other methods ofcorrelating may be employed.

In one example implementation, the symbol de-mapper 236, takes the inputfrom the receiver front end 234, and performs de-mapping based onEuclidean distance. The preferred embodiment is described in the contextof QPSK de-mapping, which is a special case of PSK de-mapping. Generallyfor PSK modulation, there are two types of de-mapping methods based onwhether or not the PSK signals have been normalized. For coherentde-mapping, since the exact reference constellations are known, theoptimum de-mapping is based on Euclidean distance; while fornon-coherent de-mapping, which is often the case when differentialencoding is used, de-mapping can only be based on angle. Thede-mapping-based-on-angle method is a sub-optimum one, as it ignores theinformation carried in the amplitude of a signal. As a special case ofPSK de-mapping, QPSK de-mapping does not depend upon signalnormalization. As is the case in de-mapping higher QAM signals, QPSKde-mapping is based on an LLR (logarithm of likelihood ratio) and inthis example, as described with reference to FIG. 3, uses Euclideandistance. The constellation depicted in FIG. 3 is a QPSK constellationwith Grey mapping. Corresponding to the bit sequences 00, 01, 10 and 11are constellation points S₀, S₁, S₂, and S₃ respectively, whoseco-ordinates are (x₀, y₀), (x₁, y₁), (x₂, y₂)₅ and (x₃, y₃)respectively. Point (x, y) represents the signal input from the receiverfront end 234. The soft de-mapped bits b₁b₂ using Euclidean distance LLRcan be expressed as:

$b_{1} = {\log\frac{{\mathbb{e}}^{{{- {({{({x - x_{2}})}^{2} + {({y - y_{2}})}^{2}})}}/2}\sigma^{2}} + {\mathbb{e}}^{{{- {({{({x - x_{3}})}^{2} + {({y - y_{3}})}^{2}})}}/2}\sigma^{2}}}{{\mathbb{e}}^{{{- {({{({x - x_{0}})}^{2} + {({y - y_{0}})}^{2}})}}/2}\sigma^{2}} + {\mathbb{e}}^{{{- {({{({x - x_{1}})}^{2} + {({y - y_{1}})}^{2}})}}/2}\sigma^{2}}}}$${b_{2} = {\log\frac{{\mathbb{e}}^{{{- {({{({x - x_{1}})}^{2} + {({y - y_{1}})}^{2}})}}/2}\sigma^{2}} + {\mathbb{e}}^{{{- {({{({x - x_{3}})}^{2} + {({y - y_{3}})}^{2}})}}/2}\sigma^{2}}}{{\mathbb{e}}^{{{- {({{({x - x_{0}})}^{2} + {({y - y_{0}})}^{2}})}}/2}\sigma^{2}} + {\mathbb{e}}^{{{- {({{({x - x_{2}})}^{2} + {({y - y_{2}})}^{2}})}}/2}\sigma^{2}}}}},$where σ²=2EN_(o), and E is the energy of per QPSK symbol. Thecalculation of bit b₁ can be simplified. Since the four QPSKconstellation points have equal distance to the origin (0,0):x ₀ ² +y ₀ ² =x ₁ ² +y ₁ ² =x ₂ ² +y ₂ ² =x ₃ ² +y ₃ ².Then b₁ simplifies to:

$\begin{matrix}{b_{1} = {\log\frac{{\mathbb{e}}^{{{- {({{({x - x_{2}})}^{2} + {({y - y_{2}})}^{2}})}}/2}\sigma^{2}} + {\mathbb{e}}^{{{- {({{({x - x_{3}})}^{2} + {({y - y_{3}})}^{2}})}}/2}\sigma^{2}}}{{\mathbb{e}}^{{{- {({{({x - x_{0}})}^{2} + {({y - y_{0}})}^{2}})}}/2}\sigma^{2}} + {\mathbb{e}}^{{{- {({{({x - x_{1}})}^{2} + {({y - y_{1}})}^{2}})}}/2}\sigma^{2}}}}} \\{= {\log\frac{{\mathbb{e}}^{{({{xx}_{2} + {yy}_{2}})}/\sigma^{2}} + {\mathbb{e}}^{{({{xx}_{3} + {yy}_{3}})}/\sigma^{2}}}{{\mathbb{e}}^{{({{xx}_{0} + {yy}_{0}})}/\sigma^{2}} + {\mathbb{e}}^{{({{xx}_{1} + {yy}_{1}})}/\sigma^{2}}}}} \\{= {\log\frac{{\mathbb{e}}^{{({{xx}_{3} + {yy}_{3}})}/\sigma^{2}} + \left( {1 + {\mathbb{e}}^{{({{xx}_{2} + {yy}_{2}})} - {{({{xx}_{3} - {yy}_{3}})}/\sigma^{2}}}} \right)}{{\mathbb{e}}^{{({{xx}_{1} + {yy}_{1}})}/\sigma^{2}} + \left( {1 + {\mathbb{e}}^{{({{xx}_{0} + {yy}_{0}})} - {{({{xx}_{1} - {yy}_{1}})}/\sigma^{2}}}} \right)}}}\end{matrix}$Since x₀=x₁ and x₂=x₃:

$b_{1} = {\log\frac{{\mathbb{e}}^{{({{xx}_{3} + {yy}_{3}})}/\sigma^{2}} + \left( {1 + {\mathbb{e}}^{{y{({y_{2} - y_{3}})}}/\sigma^{2}}} \right)}{{\mathbb{e}}^{{({{xx}_{1} + {yy}_{1}})}/\sigma^{2}} + \left( {1 + {\mathbb{e}}^{{y{({y_{0} - y_{1}})}}/\sigma^{2}}} \right)}}$Let D be the vertical distance in the I-Q plot between S₀ and S₁, andbetween S₂ and S₃.Therefore y₀−y₁=y₂−y₃=D, and:

$\begin{matrix}{b_{1} = {\log\frac{{\mathbb{e}}^{{({{xx}_{3} + {yy}_{3}})}/\sigma^{2}}}{{\mathbb{e}}^{{({{xx}_{1} + {yy}_{1}})}/\sigma^{2}}}}} \\{= {\frac{1}{\sigma^{2}}{\log\left( {\mathbb{e}}^{{x{({x_{3} - x_{1}})}} + {y{({y_{3} - y_{1}})}}} \right)}}}\end{matrix}$Because of the symmetry of the constellation x₃−x₁=−D. Since y₁=y₃, b₁can be expressed as:

$b_{1} = {{- \frac{D}{\sigma^{2}}}x}$Similarly, b₂ is expressed as:

$b_{2} = {{- \frac{D}{\sigma^{2}}}y}$If the noise is fixed, then the QPSK de-mapping algorithm can besimplified further to:b₁=−xb₂=−y,This is equivalent to two BPSK signals and is very easy to compute.

In STBC (Space-Time Block Coding), the combined QPSK signal x isnormalized by the factor δ²=|h₁₁|²+|h₂₁|²+|h₁₂|²+|h₂₂|² where h_(n,m)are elements of an MIMO (Multiple Input Multiple Output) channel matrix.Suppose the noise variances of the four channels are the same, i.e., σ²,then the noise power becomes (σ/δ)². Thus b₁ with STBC is

$\begin{matrix}{b_{1} = {{- \frac{D}{\left( {\sigma/\delta} \right)^{2}}}\left( \frac{x}{\delta^{2}} \right)}} \\{= {{- \frac{D}{\sigma^{2}}}x}}\end{matrix}$

This verifies therefore that QPSK in STBC de-mapping is not affected bydifferent scaling factors used in normalization. The conditional LLRsoft de-mapped bits b₁b₂ are output to the soft decoder 238 which usesthe de-mapped bits, and takes into account the data stream historyinformation, the encoding algorithm which was used in Encoder-2 212, tomake a best estimate of the original unencoded code word. This bestestimate which is output from the soft decoder 238 is re-encoded byencoder 240 using the same encoding algorithm as encoder-2 212. There-encoded code word is output from encoder output 242, to thecorrelator 250. The correlator 250 correlates the conditional LLR outputfrom output 237 of the symbol de-mapper 236, with the re-encoded codeword output from output 242 of the encoder 240. The act of correlationprojects the conditional LLR onto the re-encoded code word, the resultof which is an inner product output which is used as the Channel QualityIndicator (CQI).

Advantageously the CQI, because it is a measure of the correlationbetween the symbol de-mapper output and the re-encoded sequence,indicates the channel distortion. The use of the likelihood value reliesneither on the code type (block code, convolutional code, or turbocode), nor on the decoding method (hard or soft), and does notdistinguish where the interference originates, e.g., neighboring-cellinterference, white thermal noise, or residual Doppler shift. The CQIuses all the information available for the estimation, not only thevalues of the de-mapped output, but the likelihood of being a code wordas well, which is much more accurate than measuring soft output valuealone, especially when the code rate is low. In FIG. 4, simulationresults are shown in a graph of normalized CQI versus SNR for differentDoppler frequencies for the Bi-orthogonal code (16,5). In FIG. 5statistical SNR measurement error results are shown, and in FIG. 6,simulation results are shown in a CDF of SNR measurement error based onthe CQI. These graphs show that for a given BER, the CQI is relativelyinvariant with respect to various Doppler frequencies and differentchannel models. This means that conversely, irrespective of channelconditions, the CQI can be used to provide a consistent representationof BER, and as such using the CQI to perform adaptive coding andmodulation decisions, a desired BER can be achieved. This isaccomplished by feeding back the CQI to the transmitter whose signal isassociated with the channel whose quality is to be measured. Based onthe CQI and the desired performance, the transmitter determines andapplies the appropriate coding rate and modulation.

Combined Pilot and TPS Channel

In the above embodiment, coded transmit data is used at a receiver togenerate a channel quality indicator for use in making adaptive codingand modulation decisions. In another embodiment of the invention, amethod is provided of combining pilot symbols with Transmit ParameterSignalling (TPS) symbols within an Orthogonal Frequency DivisionMultiplexing (OFDM) frame in such a manner that channel estimation canstill be performed. The method may be implemented at a SISO(single-input single-output) transmitter or implemented at aMultiple-Input Multiple-Output (MIMO) OFDM transmitter, and can bedescribed broadly as four steps. First, a fast signalling message isforward error coding (FEC) encoded to generate a coded fast signallingmessage. Second, the coded fast signalling message is mapped ontosymbols within the OFDM frame. Third, the symbols are encoded usingDifferential Space-Time Block Coding (D-STBC) to generate encodedsymbols. The D-STBC coding is preferably applied in the time directionof the OFDM frame, as the channel response of the channel over whichscattered pilot sub-carriers are transmitted will usually vary morerapidly with frequency direction than with time direction, and sodifferential decoding at the OFDM receiver is more likely to yield abetter estimate of the channel response if the differential decoding iswith respect to symbols distributed along the time direction. Fourth,the encoded symbols are transmitted in a scattered pilot pattern at anincreased power level relative to other traffic data symbols within theOFDM frame. In some embodiments, the power level is only increasedrelative to other traffic data symbols if channel conditions are poor.

The method allows fast signalling messages to be used as pilot symbols,thereby reducing overhead within the OFDM frame.

A method of extracting pilot symbols from an OFDM frame in which thepilot symbols have been combined with TPS symbols, as described above,is also provided. The method is implemented at a MIMO OFDM receiver whenan OFDM frame containing encoded symbols is received at the OFDMreceiver, and can be described broadly as eight steps. First, the OFDMreceiver recovers the encoded symbols based on the scattered pattern torecover the D-STBC blocks. Second, the OFDM receiver differentiallydecodes the recovered D-STBC blocks using D-STBC decoding to recover theFEC encoded fast signalling message. Third, the OFDM receiver appliesFEC decoding to the FEC encoded fast signalling message to recover thefast signalling message. Fourth, the OFDM receiver analyzes the fastsignalling message to determine whether it includes a desired useridentification. If the fast signalling message includes the desired useridentification, then the OFDM receiver knows that the current TPS framecontains data for the user and continues processing the OFDM frame. As afifth step, the OFDM receiver re-encodes the fast signalling messageusing FEC coding. Sixth, the OFDM receiver re-encodes the encoded fastsignalling message using D-STBC encoding. If the fast signalling messagedoes not include the receiver's user identification, then power can besaved by not proceeding to conduct the rest of the channel estimationsteps.

Now the TPS symbols having been D-STBC re-encoded can be used as pilots.A channel response for the D-STBC encoded symbol can be obtained bycomparing the known transmitted pilots (re-encoded TPS data) with thereceived signals. A channel response is obtained for each TPS insertionpoint. The channel responses thus determined can then be used tointerpolate a channel response for every traffic data symbol, at alltimes and frequencies, within the OFDM frame. Preferably, this is doneby performing a 2-dimensional interpolation (in time direction andfrequency direction) to generate channel estimate for some points whereTPS were not inserted. This is followed by an interpolation in frequencyto generate a channel estimate for every sub-carrier of OFDM symbolscontaining TPS data. In some embodiments, every OFDM symbol containssome TPS insertion points and as such this completes the interpolationprocess. In other embodiments, there are some OFDM symbols which do nothave any TPS insertion points. To get channel estimates for these OFDMsymbols, an interpolation in time of the previously computed channelestimates is performed. In high mobility applications, TPS should beincluded in every OFDM symbol avoiding the need for this lastinterpolation in time step.

A fast algorithm may be applied at the OFDM receiver when computing aDiscrete Fourier Transform based on the scattered pattern in order toextract the combined pilot and fast signalling message. This reducespower consumption at the OFDM receiver.

The invention has been described with respect to a MIMO-OFDMcommunication system. The invention may also be used in a singletransmitter OFDM communication system, but will be of less advantage asthe number of pilot symbols transmitted as overhead is more manageablethan in MIMO OFDM communication systems.

The method of combining pilot symbols with the TPS channels and themethod of extracting pilot symbols are preferably implemented on an OFDMtransmitter and on an OFDM receiver respectively in the form of softwareinstructions readable by a digital signal processor. Alternatively, themethods may be implemented as logic circuitry within an integratedcircuit. More generally, the methods may be implemented by any computingapparatus containing logic for executing the described functionality.The computing apparatus which implements the methods may be a singleprocessor, more than one processor, or a component of a largerprocessor. The logic may comprise external instructions stored on acomputer-readable medium, or may comprise internal circuitry.

One of the constraints of conventional STBC is the need for accurateknowledge of channel information. In order to eliminate the requirementsfor channel knowledge and pilot symbol transmission, D-STBC ispreferable for high mobility application.

A detailed example will now be provided for the case where a 2-input,2-output system is being employed, although the technology is applicableto arbitrary numbers of antennas. also, for this example, an OFDM symbolhaving 25 sub-carriers is assumed, although any number of sub-carriersmay be employed. This example is assumed to operate on with frames of 16OFDM symbols, but more generally any length of frame may be employed.

A preferred D-STBC scheme is shown in FIG. 8 and described in detailbelow. To design the D-STBC for MIMO-OFDM, there are 3 major issues tobe addressed.

Differential direction, Data protection and Initialization/reset.

Differential Direction

One of the critical assumptions for any differential encoding is thatthe channel variation between two coded symbols should be sufficientlysmall. For the time-frequency structure of the OFDM signal as shown inFIG. 9, the channel variation along the frequency axis represents themulti-path channel induced frequency selectivity, the channel variationalong the time axis represents the temporal fading variation. Thedifferential encoding direction should be optimized.

Differential in frequency is limited by the channel coherence bandwidthdetermined by the multi-path delay spread. The phase shift between twoadjacent pilots could be very large, for example, for the ITU VehicularA channel, if the two pilot blocks are 16 bins apart, then the phaseshift of the channel between the two positions can be as high as 7C,which makes differential decoding impossible. To solve this problem, thespan of pilots in the frequency domain must be reduced. However, thiswill further increase the pilot overhead.

Differential in time is limited by Doppler frequency caused byhigh-speed mobility. For practical channel models, we can assume thatthe channel remains approximately the same along several OFDM symbols.The channel variation along the time direction varies much slower thanalong the frequency direction, therefore, D-STBC should preferably beencoded along time direction. According to a preferred embodiment of theinvention, due to the STBC structure, a pair of the STBC encoded TPSsymbols are allocated on the same frequency index (sub-carrier) of twoadjacent OFDM symbols. The two possible differentials are shown in FIG.9. Differential in time encoding is generally indicated by 900 anddifferential in frequency encoding is generally indicated by 902.

Data Protection

FEC encoding is preferably applied to TPS data, since the decoding ofthe TPS data is critical for configuring the receiver to detect thetraffic data correctly and for the correct re-encoding of the TPS dataso as to allow an accurate decision feedback to reliably convert the TPSinto a scattered pilot. A (32, 6) Hadamard code might for example beused. However, the code selection is not limited to this code alone.

Initialization and Reset

D-STBC relies on two consecutively received code blocks to decode thecurrent block of data. Since the OFDM header may not employ D-STBC forthe reason of frequency offset and sampling frequency estimation etc.,the first received D-STBC block does not have any previous blocks to dothe differential processing. This means that the first block of TPScannot carry any signaling information. To solve this problem,preferably pilot channel OFDM symbols are periodically inserted in theOFDM symbols. An example of this is shown in FIG. 10 where pilot symbolsare inserted in every sub-carrier periodically, for example 2 pilotchannel OFDM symbols for every 20 OFDM symbols. The pilot symbolstransmitted on the pilot channel OFDM symbols are preferably sent onlyby one antenna at a time for a given frequency. For example, in a twoantenna system, the pilot symbols may alternate in frequency between thefirst and second antenna. This is shown in FIG. 10 where two OFDMsymbols 910,912 are used to transmit pilot symbols, and every oddsub-carrier is used for the first antenna, and every even sub-carrier isused for the second antenna. These pilot symbols may then be used as areference for subsequent D-STBC symbols. For each antenna, interpolationcan be performed to obtain pilot information for the interveningnon-transmitted sub-carriers. Thus, interpolation is performed for theeven sub-carriers for the first transmitter, and interpolation isperformed for the odd sub-carriers for the second transmitter.

The channel information obtained from the pilot header is then used todecode the first blocks of TPS. Since the pilot header is transmittedperiodically, the D-STBC encoder is also reset at the same frequency.After the first blocks of TPS are processed, the user has also obtainedthe first blocks of D-STBC references. In addition, the resetting ofD-STBC encoder by periodic pilot headers prevents error propagation inthe decision-feedback channel estimation process.

FIG. 10 also shows the example locations of TPS symbols and of datasymbols. In this example, the first two OFDM symbols 910,912 of every 20symbol cycle contain pilot symbols as discussed above. The third through20^(th) frames contain TPS or data. A diamond lattice pattern is usedfor TPS symbols, with every third sub-carrier containing TPS symbols,alternating between three sets of two TPS symbols on the first, seventh,thirteenth, nineteenth and twenty-fifth sub-carriers914,916,918,920,922, and two sets of two TPS symbols on the fourth,tenth, sixteenth and twenty-second sub-carriers 924,925,926,928.

Unlike the pilot symbols transmitted in frames 910,912 which aretransmitted by one antenna per sub-carrier, for each TPS symbol locationshown in FIG. 10 TPS data is transmitted all of the antennas, (i.e. byboth antennas in our example). The TPS data transmitted on the twoantennas collectively forms a common TPS channel.

FIG. 11 shows TPS bit error rate versus SNR curves for various Dopplerfrequencies. As we can see from the figure, it is very robust to Dopplerspread. FIG. 12 shows the simulation results for traffic channel basedon TPS assisted channel estimation. From this figure, it can be seenthat the degradation due to TPS decoding error is negligible.

The details of the preferred D-STBC approach will now be explained.D-STBC involves the recursive computing of a transmission matrix. By“differential,” it is meant the current transmitted D-STBC block is thematrix product operation between the previously transmitted D-STBC blockand the current STBC block input.

As indicated previously, preferably TPS data is transmitted on twoconsecutive OFDM symbols for the same sub-carrier for a set ofsub-carriers which may change from one set of two OFDM symbols toanother set of two OFDM symbols. More generally, for a MIMO system withN antennas, TPS data is transmitted over N consecutive OFDM frames forthe same sub-carrier. The transmission matrix is an N×N matrix thatdetermines what to transmit on the N (consecutive OFDM frames)×N (numberof antennas) available TPS symbol locations. For the example beingdescribed in detail, N=2. The actual amount L of TPS data transmitteddepends on the D-STBC code rate. For example, if there are fourantennas, then a 4×4 STBC matrix is obtained from encoding three symbolsfrom the MPSK mapped TPS signaling stream.

Referring to FIG. 10, the first sub-carrier transmitted by both antennaswill contain TPS data on the third, fourth, ninth, tenth, and 15^(th),16^(th) frames. The data will be both time and space differentiallyencoded meaning that there is information both in the difference betweensymbols sent at different times (differential time), and in thedifference between symbols sent on different antennas (differentialspace).

The first and second pilot symbols 930 (frame 910) and 932 (frame 912)transmitted by the first antenna on the first sub-carrier and aninterpolated value for the first pilot and second pilot symbolstransmitted by the second antenna on the first sub-carrier collectivelyprovide a reference for the first two TPS symbols 934,936 transmitted bythe two antennas. Subsequent TPS symbols rely on previously transmittedTPS symbols as references.

Referring now to FIG. 8, the forward error corrected TPS data to betransmitted on a given sub-carrier is indicated as a sequence {C₁, C₂ .. . }950, assumed to be M-ary in nature. This is M-PSK mapped at 952.M-PSK symbols are then processed pairwise (for the 2×2 case) with a pairof M-PSK symbols at time i being referred to as {x_(1,i), x_(2,i)}.Space time block coding produces a 2×2 STBC matrix H_(x,i) 954 whichcontains x_(1,i), x_(2,i) in a first column and −x_(2,i)*, x_(1,i)* inthe second column. For the purpose of the TPS frames, the STBC blockindex i increments once every 2 OFDM symbols. A counter m will representOFDM symbols with the m^(th) and m+1^(th) OFDM symbol from transmitterSTBC block index i, m=2i. In the Figure, the output of the encoder attime i is identified as H_(z,i), 956 with the output at time i−1identified as H_(z,i-1) stored in delay element 958. H_(z,i) has thesame structure as H_(x,i). The following encoder equation can beobtained for the output as a function of the input:

$H_{z,i} = {\frac{1}{\sqrt{E_{x}}}H_{x,i}H_{z,{i - 1}}}$

where H_(z,i) is the D-STBC matrix at STBC block index i, H_(x,i) is theSTBC input matrix at STBC block index i, and E_(x) is the energy of eachsignal in H_(x,i). The output H_(z,i) is a 2×2 matrix having fourelements with the first row of the elements being transmitted on oneantenna 960, and second row of the elements being transmitted on theother antenna 962. For the example of FIG. 10, the matrix H_(z,i) istransmitted collectively by the two antennas during TPS symbol locations934,936 of the first sub-carrier using the pilot symbols as thereference.

Referring again to FIG. 8, at a single antenna receiver, the antennareceives a signal Y₁=y₁(m), y₁(m+1) at STBC block index i over two OFDMframes m, m+1 for each sub-carrier. This will be received on a singlesub-carrier over two OFDM frames.

To understand D-STBC is to observe the following key equation whichholds true for antenna 1:

$\begin{matrix}{\begin{bmatrix}{y_{1}(m)} \\{y_{1}\left( {m + 1} \right)}\end{bmatrix} = {H_{z,i}A_{1,i}}} \\{= {{\frac{1}{\sqrt{E_{x}}}H_{x,i}H_{z,{i - 1}}A_{1,i}} \approx {\frac{1}{\sqrt{E_{x}}}{H_{x,i}\begin{bmatrix}{y_{1}\left( {m - 2} \right)} \\{y_{1}\left( {m - 1} \right)}\end{bmatrix}}}}}\end{matrix}$where y₁(m), y₁(m+1) is the received signal over two OFDM frames forSTBC block index i, H_(x,i) is the STBC block input at STBC block indexi, E_(x) is the energy of signal elements in H_(x,i), A_(1,i) is thechannel matrix for receive antenna 1 representing the channel responseh₁₁ from first transmit antenna to the receive antenna and h₂₁ for thesecond transmit antenna to the receive antenna at STBC block index i,and H_(z,i) is the transmitted D-STBC block signal at STBC block indexi. D-STBC can only be applied to PSK modulation, and therefore, E_(x) isa fixed value. Also, H_(z,i) takes the same format as H_(x,i), i.e.,

$H_{z,i} = {\begin{bmatrix}z_{1,i} & z_{2,i} \\{- z_{2,i}^{*}} & z_{1,i}^{*}\end{bmatrix}.}$From the equation

$\begin{bmatrix}{y_{1}(m)} \\{y_{1}\left( {m + 1} \right)}\end{bmatrix} \approx {\frac{1}{\sqrt{E_{x}}}{H_{x,i}\begin{bmatrix}{y_{1}\left( {m - 2} \right)} \\{y_{1}\left( {m - 1} \right)}\end{bmatrix}}}$we can obtain H_(x,i) from the four consecutively received signalsy₁(m−2), y₁(m−1), y₁(m), y₁(m+1). Note that in the case of multiplereceiver antennas, the same expression holds true for each antenna.Since D-STBC works on STBC blocks, it also has the same soft failureproperty as STBC, i.e., the system will not break down due totransmitting antennas failure—as long is still at least one antennaworking. In addition, the code design for MIMO channel is in fact a taskfor STBC, and is irrelevant to D-STBC. Therefore, D-STBC can be easilyexpanded to the case with transmitter diversity of order more than 2.

Other System Design Considerations

Encoding

Although theoretically the differential encoding is after STBC encoding,(i.e. STBC matrix Hx,i is computed and then Hz,i is computed), inpractice, these steps can be reversed in order. The main advantage ofreversing the order is that the STBC encoding process can be unified,which makes it very simple and easy to implement. To elaborate, we cancalculate z_(1,i) and z_(2,i) from x_(1,i) and x_(2,i) first, thenpuncture or insert z_(1,i) and z_(2,i) into the data stream that are tobe STBC encoded. The elements z_(1,i) and z_(2,i) can be calculated asfollows:

$z_{1,i} = {\frac{1}{\sqrt{E}}\left( {{x_{1,i}z_{1,{i - 1}}} - {x_{2,i}z_{2,{i - 1}}^{*}}} \right)}$$z_{2,i} = {\frac{1}{\sqrt{E}}\left( {{x_{1,i}z_{2,{i - 1}}} + {x_{2,i}z_{1,{i - 1}}^{*}}} \right)}$The above equation is the only operation needed for D-STBC encoder,where no matrix operation is involved. One row of the resultant matrixH_(z,i), namely z_(1,i), z_(2,i) is transmitted by one antenna, and theother row, namely −z*_(2,i), z*_(1,i) is transmitted by the otherantenna.Decoding

The decoding of differentially encoded STBC code can be simplified intoone step even simpler than STBC decoding itself, considering that thereis no channel estimation is needed. Note that all the calculation hereis carried out in the frequency domain, therefore, the relation betweenthe transmitted signal and the channel is multiplication, rather thanconvolution.

Define:

-   m: OFDM symbol index in time-   i: OFDM channel estimation index=2m-   k: OFDM sub-carrier index-   x_(1,i): first PSK symbol to form STBC block H_(x,i)-   x_(2,i): second PSK symbol to form STBC block H_(x,i)-   y_(j)(m): received signal at antenna j=1,2    The transmitted STBC coded signal (i.e., before the differential    encoder) at time m and m+1 is:

$\begin{bmatrix}x_{1,i} & x_{2,i} \\{- x_{2,i}^{*}} & x_{1,i}^{*}\end{bmatrix},$where the column number is in space domain, while the row number is intime domain. Note the relationship hold true on a per sub-carrier basis.

With differential coding, the received signal at two receiving antennasfor STBC block index can be expressed as follows for each sub-carrier,(sub-carrier index not shown) where again m=2i:

$\begin{bmatrix}{y_{1}(m)} \\{y_{1}\left( {m + 1} \right)}\end{bmatrix} = {{{{\frac{1}{\sqrt{2}}\begin{bmatrix}x_{1,i} & x_{2,i} \\{- x_{2,i}^{*}} & x_{1}^{*}\end{bmatrix}}\begin{bmatrix}{y_{1}\left( {m - 2} \right)} \\{y_{1}\left( {m - 1} \right)}\end{bmatrix}}\begin{bmatrix}{y_{2}(m)} \\{y_{2}\left( {m + 1} \right)}\end{bmatrix}} = {{\frac{1}{\sqrt{2}}\begin{bmatrix}x_{1,i} & x_{2,i} \\{- x_{2,i}^{*}} & x_{1,i}^{*}\end{bmatrix}}\begin{bmatrix}{y_{2}\left( {m - 2} \right)} \\{y_{2}\left( {m - 1} \right)}\end{bmatrix}}}$From the above two equations, the maximum likelihood signals of x_(1,i)and x_(2,i) can be obtained as:{tilde over (x)} _(1,i) =y ₁(m−2)*y ₁(m)+y ₁(m−1)y ₁(m+1)*+y₂(m−2)*y₂(m)+y ₂(m−1)y ₂(m+1)*{tilde over (x)} _(2,i) =y ₁(m−1)*y ₁(m)−y ₁(m−2)y ₁(m+1)*+y₂(m−1)*y₂(m)−y ₂(m−2)y ₂(m+1)*or in a matrix form:

$\begin{bmatrix}{\overset{\sim}{x}}_{1,i} \\{\overset{\sim}{x}}_{2,i}\end{bmatrix} = {{\begin{bmatrix}{y_{1}\left( {m - 2} \right)}^{*} & {y_{1}\left( {m - 1} \right)} \\{y_{1}\left( {m - 1} \right)}^{*} & {- {y_{1}\left( {m - 2} \right)}}\end{bmatrix}\left\lbrack \begin{matrix}{y_{1}(m)} \\{y_{1}\left( {m + 1} \right)}^{*}\end{matrix} \right\rbrack} + \mspace{329mu}{\left\lbrack \begin{matrix}{y_{2}\left( {m - 2} \right)}^{*} & {y_{2}\left( {m - 1} \right)} \\{y_{2}\left( {m - 1} \right)}^{*} & {- {y_{2}\left( {m - 2} \right)}}\end{matrix} \right\rbrack\begin{bmatrix}{y_{2}(m)} \\{y_{2}\left( {m + 1} \right)}^{*}\end{bmatrix}}}$It is the above matrix equation is depicted in block diagram form in thereceiver path of FIG. 8.

Channel Estimation

Since the finally transmitted data are D-STBC encoded, channelparameters for each path can only be estimated through re-encoding thedecoded data, after TPS have been successfully decoded. Thisdecision-feedback approach is the key in how to make use of TPS asscattered pilots.

Suppose that after D-STBC re-encoding, we obtain z_(1,i) and z_(2,i),which correspond to x_(1,i) and x_(2,i), respectively, then fromreceiver antenna 1 we have

$\begin{bmatrix}{y_{1}(m)} \\{y_{1}\left( {m + 1} \right)}\end{bmatrix} = {{\begin{bmatrix}z_{1,i} & z_{2,i} \\{- z_{2,i}^{*}} & z_{1,i}^{*}\end{bmatrix}\begin{bmatrix}{h_{11}(m)} \\{h_{21}(m)}\end{bmatrix}}.}$By solving the above equation, we get

${\begin{bmatrix}{h_{11}(m)} \\{h_{21}(m)}\end{bmatrix} = {{\frac{1}{\delta^{2}}\begin{bmatrix}z_{1,i}^{*} & {- z_{2,i}} \\z_{2,i}^{*} & z_{1,i}\end{bmatrix}}\begin{bmatrix}{y_{1}(m)} \\{y_{1}\left( {m + 1} \right)}\end{bmatrix}}},{where}$ δ² = z_(1, i)² + z_(2, i)².In a similar way, we can estimate h₁₂(m, k) and h₂₂(m, k) from thesignals received at receiver antenna 2:

$\begin{bmatrix}{h_{12}(m)} \\{h_{22}(m)}\end{bmatrix} = {{{\frac{1}{\delta^{2}}\begin{bmatrix}z_{1,i}^{*} & {- z_{1,i}} \\z_{2,i}^{*} & z_{2,i}\end{bmatrix}}\begin{bmatrix}{y_{2}(m)} \\{y_{2}\left( {m + 1} \right)}\end{bmatrix}}.}$

It needs to be noticed that for each STBC block, we can only obtain oneset of channel information for the current time, with the assumptionthat the channel will approximately be the same during this period. Aspointed out earlier, this condition can be easily satisfied. Again, allof this is done for each sub-carrier used to transmit STBC blocks ofpilot/TPS data.

What has been described is merely illustrative of the application of theprinciples of the invention. Other arrangements and methods can beimplemented by those skilled in the art without departing from thespirit and scope of the present invention.

1. A channel quality measurement apparatus adapted to measure a qualityof a channel over which has been transmitted a sequence of symbolsproduced by encoding and constellation mapping a source data elementsequence, the apparatus comprising: a symbol de-mapper, receiving asinput a sequence of received symbols over the channel whose quality isto be measured, the symbol de-mapper being adapted to perform symbolde-mapping on the sequence of received symbols to produce a sequence ofsoft data element decisions, a type of the symbol de-mapping being basedon a first channel quality indicator previously transmitted by theapparatus to a transmitter of the sequence of symbols; a soft decoder,receiving as input the sequence of soft data element decisions producedby the symbol de-mapper, the soft decoder being adapted to decode thesequence of soft data element decisions to produce a decoded outputsequence; an encoder, receiving as input the decoded output sequenceproduced by the soft decoder, the encoder being adapted to re-encode thedecoded output sequence with an identical code to a code used inencoding the source data element sequence to produce a re-encoded outputsequence; and a correlator, receiving as input the sequence of soft dataelement decisions produced by said de-mapper, and the re-encoded outputsequence produced by the encoder, said correlator being adapted toproduce a second channel quality indicator by determining a correlationbetween the sequence of soft data element decisions and the re-encodedoutput sequence, wherein the apparatus is adapted to feed the secondchannel quality indicator back to the transmitter to apply a type ofmapping of the source data element sequence based on the second channelquality indicator so that the type of mapping applied at the transmitteris based on the correlation between the sequence of soft data elementdecisions and the re-encoded output sequence.
 2. The channel qualitymeasurement apparatus of claim 1 wherein the symbol de-mapper is adaptedto perform QPSK symbol de-mapping in response to the first channelquality indicator and is adapted to perform Euclidean distanceconditional LLR symbol de-mapping in response to the second channelquality indicator.
 3. The channel quality measurement apparatus of claim1 wherein the symbol de-mapper is adapted to perform Euclidean distanceconditional LLR symbol de-mapping in response to the first channelquality indicator and is adapted to perform QPSK symbol de-mapping inresponse to the second channel quality indicator.
 4. The channel qualitymeasurement apparatus of claim 1, wherein a type of decoding is based onthe first channel quality indicator previously transmitted by theapparatus to the transmitter of the sequence of symbols.
 5. The channelquality measurement apparatus of claim 4, wherein the second channelquality indicator is transmitted to the transmitter to adaptively selecta type of coding of the source data element sequence.
 6. A method ofmeasuring channel quality of a channel over which has been transmitted asequence of symbols produced by encoding and constellation mapping asource data element sequence, the method comprising: receiving asequence of received symbols over the channel whose quality is to bemeasured; symbol de-mapping said sequence of received symbols to producea sequence of soft data element decisions; decoding said sequence ofsoft data element decisions to produce a decoded output sequence, thedecoding being based on a first channel quality indicator previouslytransmitted to a transmitter of the sequence of symbols; re-encodingsaid decoded output sequence to produce a re-encoded output sequenceusing a code identical to a code used in encoding the source dataelement sequence; and correlating said re-encoded output sequence, andsaid sequence of soft data element decisions to produce a second channelquality indicator; and transmitting the second channel quality indicatorto the transmitter to adaptively select a type of coding to be appliedto a source data element sequence based on the second channel qualityindicator so that the type of mapping applied at the transmitter isbased on the correlation between the sequence of soft data elementdecisions and the re-encoded output sequence.
 7. The method of channelquality measurement of claim 6 wherein the symbol de-mapping of asequence of received symbols is QPSK symbol de-mapping in response tothe first channel quality indicator and wherein the symbol de-mapping ofa sequence of received symbols is Euclidean distance conditional LLRde-mapping in response to the second channel quality indicator.
 8. Themethod of channel quality measurement of claim 6 wherein the symbolde-mapping of a sequence of received symbols comprises Euclideandistance conditional LLR de-mapping in response to the first channelquality indicator, and wherein the symbol de-mapping of a sequence isQPSK symbol de-mapping in response to the second channel qualityindicator.
 9. An article of manufacture comprising a non-transitorycomputer-readable storage medium, the non-transitory computer-readablestorage medium including instructions for implementing the method ofclaim
 6. 10. A method of measuring OFDM channel quality of an OFDMchannel over which has been transmitted a sequence of OFDM symbols, theOFDM symbols containing an encoded and constellation mapped source dataelement sequence, the method comprising: receiving a sequence of OFDMsymbols over the OFDM channel whose quality is to be measured; symbolde-mapping said sequence of received symbols to produce a sequence ofsoft data element decisions, the symbol de-mapping being based on afirst channel quality indicator previously transmitted to a transmitterof the sequence of OFDM symbols; decoding said sequence of soft dataelement decisions to produce a decoded output sequence pertaining to thesource data element sequence, the decoding being based on the firstchannel quality indicator previously transmitted to the transmitter ofthe sequence of OFDM symbols; re-encoding said decoded output sequenceto produce a re-encoded output sequence using a code identical to a codeused in encoding the source data element sequence; and correlating saidre-encoded output sequence, and said sequence of soft data elementdecisions to produce a second channel quality indicator; andtransmitting the second channel quality indicator to the transmitter toadaptively select a type of mapping and a type of coding to be appliedto a source data element sequence based on the second channel qualityindicator so that the type of mapping applied at the transmitter isbased on the correlation between the sequence of soft data elementdecisions and the re-encoded output sequence.
 11. The method of OFDMchannel quality measurement of claim 10 wherein the symbol de-mapping ofsaid sequence of received symbols is QPSK symbol de-mapping in responseto the first channel quality indicator and wherein the symbol de-mappingof a sequence of received symbols is Euclidean distance conditional LLRde-mapping in response to the second channel quality indicator.
 12. Themethod of OFDM channel quality measurement of claim 10 wherein thesymbol de-mapping of said sequence of received symbols comprisesEuclidean distance conditional LLR de-mapping in response to the firstchannel quality indicator, and wherein the symbol de-mapping of asequence is QPSK symbol de-mapping in response to the second channelquality indicator.
 13. The method of OFDM channel quality measurement ofclaim 10 wherein the decoding of said sequence of soft data elementdecisions to produce a decoded output sequence further comprises using ahistory of the soft data element decisions, and using information aboutencoding of the sequence of symbols transmitted over the channel.
 14. Anarticle of manufacture comprising a non-transitory computer-readablestorage medium, the non-transitory computer-readable storage mediumincluding instructions for implementing the method of claim
 9. 15. Acommunication system comprising: a transmitter adapted to transmit asequence of symbols produced by encoding and constellation mapping asource data element sequence over a channel; and a receiver comprising:a) a symbol de-mapper, receiving as input a sequence of received symbolsover the channel, said symbol de-mapper being adapted to perform symbolde-mapping on said sequence of received symbols to produce a sequence ofsoft data element decisions, a type of the symbol de-mapping being basedon a first channel quality indicator previously transmitted by thereceiver to the transmitter of the sequence of symbols; b) a softdecoder, receiving as input the sequence of soft data element decisionsproduced by the symbol de-mapper, said soft decoder being adapted todecode the sequence of soft data element decisions to produce a decodedoutput sequence; c) an encoder, receiving as input the decoded outputsequence produced by the soft decoder, said encoder being adapted tore-encode the decoded output sequence with an identical code to a codeused in encoding the source data element sequence to produce are-encoded output sequence; and d) a correlator, receiving as input thesequence of soft data element decisions produced by the de-mapper, andthe re-encoded output sequence produced by the encoder, said correlatorbeing adapted to produce a second channel quality indicator bydetermining a correlation between the sequence of soft data elementdecisions and the re-encoded output sequence, wherein the receiver isadapted to feed the second channel quality indicator back to thetransmitter, and wherein the transmitter is adapted to apply a type ofmodulation of the source data element sequence based on the secondchannel quality indicator so that the type of modulation applied at thetransmitter is based on the correlation between the sequence of softdata element decisions and the re-encoded output sequence.
 16. Thecommunication system of claim 15 wherein the symbol de-mapper is adaptedto perform QPSK symbol de-mapping in response to the first channelquality indicator and is adapted to perform Euclidean distanceconditional LLR symbol de-mapping in response to the second channelquality indicator.
 17. The communication system of claim 15 wherein thefirst and second channel quality indicators correspond to a first andsecond bit error rate, respectively.
 18. The communication system ofclaim 15, wherein a type of the decoding is based on the first channelquality indicator previously transmitted by the receiver to thetransmitter of the sequence of symbols.